Praveen Ponna, Author at SpringML, Inc.

Data integration strategies for modern businesses

Overview Data Integration process consists of a data pipeline at its core, which is a data processing layer that connects all the required sources and transforms the data to a single unified data platform. The main reason for integrating data into a unified data source is to remove the overhead of reaching out to multiple siloed …

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Demand Forecasting Solutions using Data Analytics and AI

This is the second in the blog series, which we started with Data-Driven Decisions in retail commerce. Here we will dive into ‘Demand forecasting’ one of the business cases we listed earlier. Inventory management will be the focus of key areas of improvement for any retailer. With the supply chain problem inhibiting the supply side and …

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Solving Demand Forecasting problem with Data Analytics and AI

In this demo video, we look at how the 'begin checkout' event type may help estimate the intent of a user’s purchase choice and how demand forecasting for an eCommerce site can be conducted. Google Analytics captures events on a particular site and shares data that can be fed into BigQuery and transformed into the desired …

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Understanding the need for data-driven decisions in Retail Commerce

The retail industry has seen some major changes in the last few years. The pandemic has not just forced every retailer to think about their online presence, but also to take a step further and enable the systems to be measurable & help in business decisions. With the rapid changes in the ecosystem, business stakeholders were …

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Praveen Ponna

Data integration strategies for modern businesses

Demand Forecasting Solutions using Data Analytics and AI

Solving Demand Forecasting problem with Data Analytics and AI

Understanding the need for data-driven decisions in Retail Commerce

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